Training Ops

Summary

Classes
tensorflow:: ops:: ApplyAdadelta	Update '*var' according to the adadelta scheme.
tensorflow:: ops:: ApplyAdagrad	Update '*var' according to the adagrad scheme.
tensorflow:: ops:: ApplyAdagradDA	Update '*var' according to the proximal adagrad scheme.
tensorflow:: ops:: ApplyAdam	Update '*var' according to the Adam algorithm.
tensorflow:: ops:: ApplyAddSign	Update '*var' according to the AddSign update.
tensorflow:: ops:: ApplyCenteredRMSProp	Update '*var' according to the centered RMSProp algorithm.
tensorflow:: ops:: ApplyFtrl	Update '*var' according to the Ftrl-proximal scheme.
tensorflow:: ops:: ApplyFtrlV2	Update '*var' according to the Ftrl-proximal scheme.
tensorflow:: ops:: ApplyGradientDescent	Update '*var' by subtracting 'alpha' * 'delta' from it.
tensorflow:: ops:: ApplyMomentum	Update '*var' according to the momentum scheme.
tensorflow:: ops:: ApplyPowerSign	Update '*var' according to the AddSign update.
tensorflow:: ops:: ApplyProximalAdagrad	Update '*var' and '*accum' according to FOBOS with Adagrad learning rate.
tensorflow:: ops:: ApplyProximalGradientDescent	Update '*var' as FOBOS algorithm with fixed learning rate.
tensorflow:: ops:: ApplyRMSProp	Update '*var' according to the RMSProp algorithm.
tensorflow:: ops:: ResourceApplyAdadelta	Update '*var' according to the adadelta scheme.
tensorflow:: ops:: ResourceApplyAdagrad	Update '*var' according to the adagrad scheme.
tensorflow:: ops:: ResourceApplyAdagradDA	Update '*var' according to the proximal adagrad scheme.
tensorflow:: ops:: ResourceApplyAdam	Update '*var' according to the Adam algorithm.
tensorflow:: ops:: ResourceApplyAdamWithAmsgrad	Update '*var' according to the Adam algorithm.
tensorflow:: ops:: ResourceApplyAddSign	Update '*var' according to the AddSign update.
tensorflow:: ops:: ResourceApplyCenteredRMSProp	Update '*var' according to the centered RMSProp algorithm.
tensorflow:: ops:: ResourceApplyFtrl	Update '*var' according to the Ftrl-proximal scheme.
tensorflow:: ops:: ResourceApplyFtrlV2	Update '*var' according to the Ftrl-proximal scheme.
tensorflow:: ops:: ResourceApplyGradientDescent	Update '*var' by subtracting 'alpha' * 'delta' from it.
tensorflow:: ops:: ResourceApplyKerasMomentum	Update '*var' according to the momentum scheme.
tensorflow:: ops:: ResourceApplyMomentum	Update '*var' according to the momentum scheme.
tensorflow:: ops:: ResourceApplyPowerSign	Update '*var' according to the AddSign update.
tensorflow:: ops:: ResourceApplyProximalAdagrad	Update '*var' and '*accum' according to FOBOS with Adagrad learning rate.
tensorflow:: ops:: ResourceApplyProximalGradientDescent	Update '*var' as FOBOS algorithm with fixed learning rate.
tensorflow:: ops:: ResourceApplyRMSProp	Update '*var' according to the RMSProp algorithm.
tensorflow:: ops:: ResourceSparseApplyAdadelta	var: Should be from a Variable().
tensorflow:: ops:: ResourceSparseApplyAdagrad	Update relevant entries in '*var' and '*accum' according to the adagrad scheme.
tensorflow:: ops:: ResourceSparseApplyAdagradDA	Update entries in '*var' and '*accum' according to the proximal adagrad scheme.
tensorflow:: ops:: ResourceSparseApplyCenteredRMSProp	Update '*var' according to the centered RMSProp algorithm.
tensorflow:: ops:: ResourceSparseApplyFtrl	Update relevant entries in '*var' according to the Ftrl-proximal scheme.
tensorflow:: ops:: ResourceSparseApplyFtrlV2	Update relevant entries in '*var' according to the Ftrl-proximal scheme.
tensorflow:: ops:: ResourceSparseApplyKerasMomentum	Update relevant entries in '*var' and '*accum' according to the momentum scheme.
tensorflow:: ops:: ResourceSparseApplyMomentum	Update relevant entries in '*var' and '*accum' according to the momentum scheme.
tensorflow:: ops:: ResourceSparseApplyProximalAdagrad	Sparse update entries in '*var' and '*accum' according to FOBOS algorithm.
tensorflow:: ops:: ResourceSparseApplyProximalGradientDescent	Sparse update '*var' as FOBOS algorithm with fixed learning rate.
tensorflow:: ops:: ResourceSparseApplyRMSProp	Update '*var' according to the RMSProp algorithm.
tensorflow:: ops:: SparseApplyAdadelta	var: Should be from a Variable().
tensorflow:: ops:: SparseApplyAdagrad	Update relevant entries in '*var' and '*accum' according to the adagrad scheme.
tensorflow:: ops:: SparseApplyAdagradDA	Update entries in '*var' and '*accum' according to the proximal adagrad scheme.
tensorflow:: ops:: SparseApplyCenteredRMSProp	Update '*var' according to the centered RMSProp algorithm.
tensorflow:: ops:: SparseApplyFtrl	Update relevant entries in '*var' according to the Ftrl-proximal scheme.
tensorflow:: ops:: SparseApplyFtrlV2	Update relevant entries in '*var' according to the Ftrl-proximal scheme.
tensorflow:: ops:: SparseApplyMomentum	Update relevant entries in '*var' and '*accum' according to the momentum scheme.
tensorflow:: ops:: SparseApplyProximalAdagrad	Sparse update entries in '*var' and '*accum' according to FOBOS algorithm.
tensorflow:: ops:: SparseApplyProximalGradientDescent	Sparse update '*var' as FOBOS algorithm with fixed learning rate.
tensorflow:: ops:: SparseApplyRMSProp	Update '*var' according to the RMSProp algorithm.